For much of modern sporting history, athlete development has been built around a relatively fixed model. Young athletes joined local clubs, trained under the guidance of one or two coaches, and progressed within the limits of the expertise available in their immediate environment. Access to high-level instruction depended largely on geography. If a particular specialist, methodology, or training philosophy existed elsewhere, athletes were expected to relocate, travel extensively, or accept that certain opportunities simply remained out of reach.
This model has undoubtedly produced exceptional athletes. Yet it has also exposed a fundamental limitation within sports education: expertise has traditionally been concentrated in specific places, making access uneven and often dependent on circumstance rather than aspiration.
Today, however, a different model is beginning to emerge. Advances in technology, shifts in educational expectations, and the increasing globalization of coaching have contributed to a more distributed architecture of athletic development. Rather than relying exclusively on a single institution or coach, athletes are increasingly building ecosystems around themselves—combining local support with specialized expertise, digital learning environments, and new forms of technological feedback.
Victoria Drazdova, former professional athlete, researcher, and Head Coach at Victory Sports & Arts Academy (VSA), believes this evolution reflects a broader transformation taking place across sport.
“We are moving away from the idea that development happens in one place through one source of knowledge,” she explains. “Athletes are becoming more intentional about seeking different perspectives and different forms of expertise depending on what they need at a particular stage of their development.”
The implications of this shift are particularly significant within highly technical disciplines such as figure skating, gymnastics, ballet, and artistic roller skating. In these sports, progress is often determined by subtle details that require years of specialized experience to identify. Small adjustments in body alignment, jump mechanics, movement quality, flexibility, or timing can dramatically influence performance outcomes. Historically, access to this level of expertise has not been evenly distributed.
Distributed learning models have the potential to address some of these disparities. A figure skater may continue training daily with a local coach while consulting a jump specialist located in another country. A gymnast may supplement existing instruction with targeted flexibility training from a former national team athlete. Ballet students may receive guidance from active professional dancers without geographical constraints limiting access to their expertise. Rather than replacing traditional coaching relationships, these systems expand them.
This transition raises important questions about the future of sports education. What role should technology play in athlete development? How should expertise be evaluated in increasingly digital environments? In what ways can innovation improve accessibility without compromising quality? These considerations are becoming increasingly relevant as organizations begin integrating artificial intelligence into training environments.
VSA is among the companies exploring how emerging technologies can complement established coaching practices. Drawing upon experience gained through working with athletes across multiple disciplines, the organization is developing AI-powered tools designed to support technical analysis, movement evaluation, and performance feedback. According to Drazdova, the objective is not to replace coaches, but to strengthen the educational process by making certain forms of expertise more scalable and accessible.
As athletic development continues to evolve, the concept of a training environment itself may require reconsideration. Increasingly, the environments that shape athletes are no longer defined exclusively by physical spaces such as rinks, studios, or gymnasiums. Instead, they are formed through networks of relationships, systems of knowledge, and technologies that connect people across geographic boundaries.
Architecture has long been concerned with the design of spaces that influence human experience and potential. Perhaps the future of sports education will depend less on where learning takes place and more on how effectively these new ecosystems are designed to support it.
